Results 61 to 70 of about 254,803 (193)
Events and Controversies: Influences of a Shocking News Event on Information Seeking [PDF]
, 2014 It has been suggested that online search and retrieval contributes to the intellectual isolation of users within their preexisting ideologies, where people's prior views are strengthened and alternative viewpoints are infrequently encountered.
Bennett, Paul +2 more
core
ZoomNet for Topic-Oriented Tragment Recognition in Long Documents
IEEE Access, 2022 This work introduces a new information extraction task called Topic-Oriented Fragment Recognition (TOFR), whose goal is to recognize information related to a specific topic in long documents from professional fields.
Yukun Yan +3 more
doaj +1 more source
Statistical topic models for multi-label document classification [PDF]
Machine Learning, 2011 Machine learning approaches to multi-label document classification have to date largely relied on discriminative modeling techniques such as support vector machines. A drawback of these approaches is that performance rapidly drops off as the total number of labels and the number of labels per document increase.
Rubin, Timothy N. +3 more
openaire +2 more sources
Patent Analytics Based on Feature Vector Space Model: A Case of IoT
, 2019 The number of approved patents worldwide increases rapidly each year, which requires new patent analytics to efficiently mine the valuable information attached to these patents.
Lei, Lei, Qi, Jiaju, Zheng, Kan
core +1 more source
GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 In this paper, we focus on the automatic interpretation of 3D point cloud data in terms of associating a class label to each 3D point. While much effort has recently been spent on this research topic, little attention has been paid to the influencing ...
M. Weinmann +3 more
doaj +1 more source
AUTOMATIC TOPIC SEGMENTATION AND LABELING IN MULTIPARTY DIALOGUE [PDF]
2006 IEEE Spoken Language Technology Workshop, 2006 This study concerns how to segment a scenario-driven multiparty dialogue and how to label these segments automatically. We apply approaches that have been proposed for identifying topic boundaries at a coarser level to the problem of identifying agenda-based topic boundaries in scenario-based meetings.
Hsueh, Pei-Yun, Moore, Johanna D.
openaire +3 more sources
A Non-Parametric Learning Approach to Identify Online Human Trafficking
, 2016 Human trafficking is among the most challenging law enforcement problems which demands persistent fight against from all over the globe. In this study, we leverage readily available data from the website "Backpage"-- used for classified advertisement ...
Alvari, Hamidreza +2 more
core +1 more source
Transforming Graph Representations for Statistical Relational Learning [PDF]
, 2012 Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of statistical relational ...
Aha, David W. +3 more
core
Wissensstandsanalyse zum Verbraucher- und Ernährungsverhalten bei ökologischen Lebensmitteln mit Einbezug der Außer-Haus-Verpflegung [PDF]
, 2011 Die vorliegende Studie enthält einen umfassenden Überblick zur nationalen wie internationalen Verbraucherforschung für Öko-Lebensmittel. Insgesamt wurden 562 Publikationen basierend auf 338 wissenschaftlichen Studien aus dem Zeitraum Januar 2000 bis Juni
Cordts, Anette +8 more
core
Automatic Labelling of Topics in Topic Modelling
Data surrounds us, data-driven decisions are becoming increasingly common, and the applications of the KDD (Knowledge Discovery from Data) process proposed by [7] are becoming crucial in the construction of the new digital society. In the KDD process, the main step is Data Mining, where the data-driven models are really trained and built and many data ...
Angerri, Xavier +3 more
openaire +1 more source